Parameterizing Variational Methods Through Data-Driven Inverse Problems for Image Processing Applications

2020 International Conference on Systems, Signals and Image Processing (IWSSIP) ◽

10.1109/iwssip48289.2020.9145179 ◽

2020 ◽

Author(s):

Italo M. F. Santos ◽

Gilson A. Giraldi ◽

Pablo Javier Blanco ◽

Abimael D. Loula

Keyword(s):

Image Processing ◽

Inverse Problems ◽

Variational Methods ◽

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Multispectral inverse problems in satellite image processing

10.1117/12.323793 ◽

1998 ◽

Author(s):

Scott A. Starks ◽

Vladik Kreinovich

Keyword(s):

Image Processing ◽

Inverse Problems ◽

Satellite Image ◽

Satellite Image Processing

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Consistency analysis of bilevel data-driven learning in inverse problems

Communications in Mathematical Sciences ◽

10.4310/cms.2022.v20.n1.a4 ◽

2022 ◽

Vol 20 (1) ◽

pp. 123-164

Author(s):

Neil K. Chada ◽

Claudia Schillings ◽

Xin T. Tong ◽

Simon Weissmann

Keyword(s):

Inverse Problems ◽

Data Driven ◽

Consistency Analysis

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Accelerating the Bayesian inference of inverse problems by using data-driven compressive sensing method based on proper orthogonal decomposition

Electronic Research Archive ◽

10.3934/era.2021044 ◽

2021 ◽

Vol 0 (0) ◽

pp. 0

Author(s):

Meixin Xiong ◽

Liuhong Chen ◽

Ju Ming ◽

Jaemin Shin

Keyword(s):

Bayesian Inference ◽

Inverse Problems ◽

Compressive Sensing ◽

Proper Orthogonal Decomposition ◽

Orthogonal Decomposition ◽

Data Driven ◽

Proper Orthogonal

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Mathematical Methods in Image Processing and Inverse Problems

10.1007/978-981-16-2701-9 ◽

2021 ◽

Keyword(s):

Image Processing ◽

Inverse Problems ◽

Mathematical Methods

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Real-time combustion state identification via image processing: A dynamic data-driven approach

2016 American Control Conference (ACC) ◽

10.1109/acc.2016.7525429 ◽

2016 ◽

Author(s):

Michael Hauser ◽

Yue Li ◽

Jihang Li ◽

Asok Ray

Keyword(s):

Image Processing ◽

Real Time ◽

Data Driven ◽

Dynamic Data ◽

State Identification ◽

Data Driven Approach

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Variational Methods in Image Processing

10.1201/b19554 ◽

2015 ◽

Author(s):

Luminita A. Vese ◽

Carole Le Guyader

Keyword(s):

Image Processing ◽

Variational Methods

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Study on the Numerical Computation Method for Inverse Problems and Its Application in Image Processing

2015 Seventh International Conference on Measuring Technology and Mechatronics Automation ◽

10.1109/icmtma.2015.263 ◽

2015 ◽

Author(s):

Wang Su-Hua

Keyword(s):

Image Processing ◽

Inverse Problems ◽

Numerical Computation ◽

Computation Method

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A spatially-variant morphological regularization method for inverse problems in image processing

2016 Chinese Control and Decision Conference (CCDC) ◽

10.1109/ccdc.2016.7531645 ◽

2016 ◽

Author(s):

Shuo Yang ◽

Hongliang Chen ◽

Jianxun Li ◽

Wei Wang

Keyword(s):

Image Processing ◽

Inverse Problems ◽

Regularization Method ◽

Spatially Variant

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Data-driven model reduction for the Bayesian solution of inverse problems

International Journal for Numerical Methods in Engineering ◽

10.1002/nme.4748 ◽

2014 ◽

Vol 102 (5) ◽

pp. 966-990 ◽

Author(s):

Tiangang Cui ◽

Youssef M. Marzouk ◽

Karen E. Willcox

Keyword(s):

Inverse Problems ◽

Model Reduction ◽

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Logarithm of Operator and Variational Methods for Linear Inverse Problems

10.17537/icmbb20.14 ◽

2020 ◽

Author(s):

S.A. Drozdovskiy

Keyword(s):

Inverse Problems ◽

Variational Methods ◽

Linear Inverse Problems

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